Native support for China clouds
Native integration with Alibaba, Tencent, Huawei, Volcengine and Baidu — something Vantage, CloudZero and other overseas tools can’t do.
Global platforms manage the usual suspects. Mofcloud covers the China clouds they skip — in the same view.
FinOps Capabilities
Multi-cloud billing, allocation, detection, reporting and collaboration — every capability reachable from one page.
15 capabilities live
All live today, reachable from one page.
Multi-cloud bill dashboard
Cost allocation
Cost anomaly detection
Custom dashboards
Bill reports
Daily reminders
Team sharing
Cost data backup
Exchange rates
Server utilization
Budget management
Virtual tags
AI usage analysis
K8s cost analysis
Resource optimization
Unified bill schema
Heterogeneous cloud bills normalized into one model
One multi-cloud board
Bills across clouds auto-synced, all on one screen
Discounts & credits
See list price, actual price and discount rate
Multi-dimensional drill-down
By cost center, tag, region — down to daily and per-resource
Mof · Multi-cloud bill dashboard
Multi-cloud payable · this month
$1,702.93
↑ 8.2%
Billed $1,957 · 13% off · Saved $254
6 cloud accounts
AWS
$812
Alibaba
$566
Huawei
$324
Custom org structure
Nest groups freely to mirror company, department, team
Monthly rules · versioned
Tweak ratios each month; versions saved and auto-copied
Multi-granularity split
By dimension, resource, virtual tag, even billing sub-items
Cross-cloud allocation
AWS, Alibaba and Huawei split into one org
Mof · Cost allocation
Split rule · Default
2026-08 · Monthly
Cost to split · by ratio
$1,702.93
Groups: Company › Dept › Team (nested)
R&D
60%
$1,022
Marketing
30%
$511
Operations
10%
$170
By dimension
By resource
By virtual tag
By sub-item
Smart algorithmic detection
Built-in algorithms surface cost anomalies automatically
Per-group tuning
Group by service, project, region — each with its own params
Fast attribution
Pinpoint the billing item, usage and resource behind it
Subscribe · auto reports
Subscribe to anomalies and get reports pushed — no watching dashboards
Mof · Cost anomaly detection
By service · auto-detected
Subscribed · auto report
Sensitivity 100
MIN $10
Confidence 95%
↑ Anomaly $1,379
Green = normal band · Holt-Winters forecast
COS Object Storage
⚠ 3 alerts
↑ $1,379
TokenHub
⚠ 2 alerts
↑ $334
VOD
⚠ 4 alerts
↑ $210
Zero setup · straight from bills
No gateway or code changes — read AI usage from cloud bills
Covers China LLM platforms
Pulls bills from Alibaba Bailian, Baidu Qianfan and more
Token breakdown by model
Input, cached, output, embedding — every dimension
Cost & cache-hit rate
Spend and cache-hit rate for each model
Mof · AI usage analytics
By model · by day
Zero setup · from bills
Token usage · this period
6.9B
Cost $4,172 · Cache hit 10%
input
cached
output
Qwen3.5-35B-A3B
4.75B
$2,197
DeepSeek-V4-Flash
486M
$1,185
DeepSeek-V3.2
269M
$746
No changes to cloud resources
Tags live only in Mof — no permissions touched, no real resources changed
Tag only what’s billed
Tag only resources with spend, nothing irrelevant
Finer, resource-level
Tag down to the resource — finer than native cloud groups
Rule-based · auto-applied monthly
By service, region, account… saved once, applied every month
Mof · Virtual tags
Tag Key · Business line
Tag on bill only
Tag coverage
78%
34 / 44 resources tagged
prod
Alibaba · AWS · Huawei
18
dev
Alibaba
9
data
AWS · Tencent
7
Per resource
Rule / manual
Auto-applied monthly
Auto-detect waste
Over-provisioned, idle, orphaned, stopped-but-billed — all caught
Based on P95 usage
Real P95 to judge over-provisioning, fewer false positives
Quantified savings
Each recommendation shows potential savings, ranked by impact
Actionable steps
Concrete downsize, reclaim and release recommendations
Mof · Resource optimization
Optimizable this month
Based on P95 usage
Save $372
/ mo
13 recommendations · Alibaba · AWS
Over-provisioned CPU
7
$182
Idle EIPs
2
$96
Orphaned disks
2
$54
Stopped but billed
2
$40
Downsize
Reclaim
Release
Grafana-style customization
Drag-and-drop layout; pick charts and data sources per panel
One-click panel sets
Pick a service to generate a full set of billing-item panels
Cost · usage · billing items
Three data sources, down to billing-item granularity
Preset boards per account
Every cloud account works out of the box — cost, usage, billing items
Mof · Custom dashboard
Cost board · My view
Drag layout
Alibaba · ECS bill
Tencent · COS items
Cash payable
$2,842
↓ 6%
Alibaba · Top items
Instance
Disk
Config
Export any scope
Allocation set, all cloud accounts, or a single account
Bills follow your split rules
Allocated group bills, per your allocation rules
Excel · multi-currency
Excel format, in USD or CNY
Cost + usage detail
Not just amounts — export usage detail by service
Mof · Bill report
Bill report export
Excel · USD
Shared set
All accounts
Single account
Usage detail
Service
Billed
Payable
ECS Compute
$391.80
$391.79
RDS Database
$215.96
$215.96
Elastic IP
$229.36
$229.36
OSS Storage
$8.84
$8.84
2026-08 · Cash payable
↓ Download
Rich cards, every channel
Lark, DingTalk, WeCom, Slack, email — as rich cards
Subscribe to anything
Single account (or one group), multi-cloud, allocation sets
Scheduled reports + alerts
Daily cost reports on schedule, anomalies alerted automatically
System events too
Instant notice on account removal, sync failures and more
Mof · Daily reminder
Daily cost report
· 09:00 daily
Alibaba · 2026-08
$2,842.08
MoM ↓6%
Top account
Alibaba
$2,842 · 100%
Cost alert
Pay-as-you-go
▲ $4.80
Sent to
Lark
DingTalk
WeCom
Slack
Precise, scoped sharing
Share by dimension, department or split rule — they see only that slice
Share to a user or team
Share with an individual user, or a whole team
Multi-cloud & allocation sets
Shared data can include multi-cloud bills and allocation sets
Re-allocate downstream
Recipients can keep allocating the shared data
Mof · Team sharing
Shared scope
This scope only
R&D Dept
$1,022
Cost allocation · rule default
Shared with
J
John Doe
User
D
Data Team
Team
They see only "R&D Dept" — no other departments or accounts
Bills auto-exported to CSV
Pulled from cloud APIs, converted to CSV, pushed to object storage
Many accounts, one bucket
Bills from multiple cloud accounts into a single bucket
Many destinations
Alibaba / Tencent / Huawei / Volcengine / Baidu / AWS
Scheduled · downloadable
Runs daily or on demand — download anytime
Mof · Cost data backup
Export to object storage
Auto · daily
mofcloud-bill-bucket
cn-hangzhou
2026-08-01.csv.zip
IA
4.9 kB
2026-08-02.csv.zip
IA
4.9 kB
2026-08-03.csv.zip
IA
5.2 kB
Supported destinations
Alibaba
Tencent
Huawei
Volcengine
Baidu
AWS
Auto-synced rates
Latest rates synced automatically, 10+ currencies
Normalize to one currency
Convert multi-cloud, multi-currency bills to one base (USD, CNY…)
Monthly overrides
Override with finance-agreed rates per month, applied automatically
Applied everywhere
Boards, reports and allocation all use this rate
Mof · Exchange rates
Base currency · USD
Auto sync · 10+ currencies
Multi-cloud total · in USD
$1,586
¥
Chinese Yuan
1 = $0.14
$1,200
€
Euro
1 = $1.09
$327
HK$
Hong Kong Dollar
1 = $0.13
$59
Monthly override
Applied site-wide
Everyone has the standard FinOps features. The real gap is China clouds, a unified schema, discounts, AI, and China-native collaboration.
Native integration with Alibaba, Tencent, Huawei, Volcengine and Baidu — something Vantage, CloudZero and other overseas tools can’t do.
Normalizes each cloud’s wildly different bills into one model, making cross-cloud aggregation and allocation possible.
List price, actual price and discount rate at a glance — built for the complex discount and credit systems of China clouds.
Reads LLM usage straight from Alibaba Bailian, Baidu Qianfan and similar bills — no gateway to install, no code to change.
Lark, DingTalk and WeCom out of the box — not just Slack and email.
No changes to cloud resources — tag by bill, down to the resource, finer than native cloud groups.
Nest orgs freely, tune versioned rules monthly, split by resource / virtual tag / sub-item, and unify across clouds.
Holt-Winters time-series forecasting with per-service tuning — not crude threshold alerts.
From bill ingestion and China IM alerts to backups into Alibaba OSS, Tencent COS and other China buckets, plus monthly multi-currency conversion — fully built around China clouds.
The Mof team knows the cloud industry well, and built the features we needed around how we actually work. The data views are comprehensive and the product is genuinely easy to use, which cut a lot of the manual work, back-and-forth, and guesswork in our cost optimization — and improved our cloud ROI. They’ve been one of the best partners we’ve worked with on FinOps.
Unified cost visibility, automated collaboration and continuous optimization turn savings and efficiency gains into measurable results.
30
%
Average cloud cost reduction
80
%
Team collaboration efficiency
46
x
Automation efficiency gain